The 7th iteration of the Boston Data Science course
Course materials for General Assembly's Data Science course in Boston (10/26/15 - 01/27/16).
Instructor:
- Paul Burkard ([email protected])
TA:
-
Jonathan Blum ([email protected])
Office Hours: 6:00-6:30 Mondays and Wednesdays @ GA and by appointment
Homework Submission: Student Repo
| Week | Monday | Wednesday |
|---|---|---|
| 1 | 10/26: Intro to Data Science and Machine Learning | 10/28: Intro to Databases |
| 2 | 11/02: NoSQL, Python, and Pandas | 11/04: Web Scraping and Command Line Final Project Kickoff |
| 3 | 11/09: Linear Regression and Model Evaluation HW1 Due |
11/11: Intro to Classification - KNN HW2 Due |
| 4 | 11/16: Probability and Naive Bayes | 11/18: Logistic Regression Project Milestone (PM1): Elevator Pitch |
| 5 | 11/23: Decision Trees | 11/30: Support Vector Machines |
| 6 | 12/02: Clustering Project Milestone (PM2): Data Ready |
12/07: Dimensionality Reduction |
| 7 | 12/09: Natural Language Processing and Latent Semantic Indexing | 12/14: Recommender Systems |
| 8 | 12/16: Ensemble Methods Project Milestone (PM3): First Draft Due |
01/06: Project Working Session #1 |
| 9 | 01/08: Network Analysis | 01/13: Time Series Analysis Project Milestone (PM4): Peer Feedback Due HW3 Due |
| 10 | 01/15: Hadoop + Big Data 1 | 01/20: Hadoop + Big Data 2 |
| 11 | 01/22: Course Review and Project Working Session #2 | 01/27: Project Presentations |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent